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      <p><font size="4">Please join us for our EOAS Colloquium Speaker,
          Dr. Zan Armstrong, TODAY at 3pm on ZOOM:</font></p>
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            <p class="gmail-mb-4" style="box-sizing:border-box;border:0px solid
              currentcolor;margin:0px 0px 1rem;font-family:"Graphik
Meetup",-apple-system,"system-ui",Roboto,Helvetica,Arial,sans-serif"><font style="background-color:rgb(255,255,255)" size="5" color="#000000"><u>Guiding Principles for Data
                  Visualization for Analysis</u></font></p>
            <p class="gmail-mb-4" style="box-sizing:border-box;border:0px solid
              currentcolor;margin:0px 0px 1rem;font-family:"Graphik
Meetup",-apple-system,"system-ui",Roboto,Helvetica,Arial,sans-serif"><font style="background-color:rgb(255,255,255)" color="#000000">In science, we create and look at charts
                all the time. It's the primary way that we interact with
                our data, and make sense of it. Yet, all too often,
                investing in data visualization is seen as a "nice to
                have", something to make things "prettier", or something
                to be done only at the end of the research when
                preparing for a presentation or publication. While data
                visualization is an important part of communicating
                results, it is a critical tool for analyzing data as
                well. Changing how we (literally) look at our data can
                be the difference between making a scientific discovery
                or overlooking the key insight. </font></p>
            <p class="gmail-mb-4" style="box-sizing:border-box;border:0px solid
              currentcolor;margin:0px 0px 1rem;font-family:"Graphik
Meetup",-apple-system,"system-ui",Roboto,Helvetica,Arial,sans-serif">One
              challenge is that it's not clear how to do it better. And,
              it can feel like a whole different skill set, disconnected
              from science, algorithms, or our knowledge of what's
              important about the data. </p>
            <p class="gmail-mb-4" style="box-sizing:border-box;border:0px solid
              currentcolor;margin:0px 0px 1rem;font-family:"Graphik
Meetup",-apple-system,"system-ui",Roboto,Helvetica,Arial,sans-serif"><font style="background-color:rgb(255,255,255)" color="#000000">In this talk, Data Visualization
                Specialist Zan Armstrong will introduce 3 guiding
                principles which will empower you to more effectively
                use data visualization<i> *in combination with your own
                  domain expertise* </i>to better understand your own
                data. These are:</font></p>
            <ul class="gmail-pl-5 gmail-list-disc gmail-mb-4" style="box-sizing:border-box;border:0px solid
              currentcolor;list-style-position:initial;margin:0px 0px
              1rem;padding:0px 0px 0px 1.25rem;font-family:"Graphik
Meetup",-apple-system,"system-ui",Roboto,Helvetica,Arial,sans-serif">
              <li style="box-sizing:border-box;border:0px solid
                currentcolor"><font style="background-color:rgb(255,255,255)" color="#000000">making the important visible</font></li>
              <li style="box-sizing:border-box;border:0px solid
                currentcolor"><font style="background-color:rgb(255,255,255)" color="#000000">three simple flexible "tools": many
                  small charts, make color meaningful, and order matters</font></li>
              <li style="box-sizing:border-box;border:0px solid
                currentcolor"><font style="background-color:rgb(255,255,255)" color="#000000">demonstrating how you can embrace the
                  complexity of your data rather than aggregate it away.</font></li>
            </ul>
            <div><span style="color:rgb(0,0,0);font-family:"Graphik
Meetup",-apple-system,"system-ui",Roboto,Helvetica,Arial,sans-serif">These
                are principles that you can put into practice today,
                using whatever software you are currently using to
                create charts. Be inspired to invest more in how you
                look at your data, and learn how to do it more
                effectively. </span><br>
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            <div><font face="Graphik Meetup, -apple-system, system-ui,
                Roboto, Helvetica, Arial, sans-serif" color="#000000"><br>
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            <p class="gmail-mb-4" style="box-sizing:border-box;border:0px solid
              currentcolor;margin:0px 0px 1rem;font-family:"Graphik
Meetup",-apple-system,"system-ui",Roboto,Helvetica,Arial,sans-serif"><font size="5"><u>Bio</u></font><br>
              Zan Armstrong is a data visualization specialist with a
              background in data analysis. Through her work, she
              empowers people to more effectively use visualization to
              better understand whatever data is most important to them.<br>
              <br>
              Zan's experience includes contributing to scientific
              discoveries as a member of Google Research's Applied
              Sciences team, tracking covid in wastewater for
              California's state and county public health officials and
              the public, creating interactive visualization tools for
              researchers at Yale, Stanford, and Berkeley,and as a data
              analyst forecasting revenue at Google. Zan's work has been
              published in Scientific American, and exhibited in the art
              museums SF Moma, Cooper Hewitt, and Ars Electronica. She
              has published data visualization research in IEEE InfoVis,
              and spoken at conferences including OpenVis Conf, Outlier,
              and SciPy. More at <a href="https://urldefense.com/v3/__http://zanarmstrong.com__;!!PhOWcWs!xxZlFN8DOstGNdkz-lZAjCMHYQJ-8dSC6OOMDLFN88LI3JToM1dhbsCIrJl5LaTsTOi-AvYg8c7ZQSiXDm-qMIT57g$" moz-do-not-send="true">zanarmstrong.com</a>. </p>
            <p class="gmail-mb-4" style="box-sizing:border-box;border:0px solid
              currentcolor;margin:0px 0px 1rem;font-family:"Graphik
Meetup",-apple-system,"system-ui",Roboto,Helvetica,Arial,sans-serif"><font size="5">Zoom link:</font><br>
            </p>
            <p class="gmail-mb-4" style="box-sizing:border-box;border:0px solid
              currentcolor;margin:0px 0px 1rem;font-family:"Graphik
Meetup",-apple-system,"system-ui",Roboto,Helvetica,Arial,sans-serif">Topic:
              Armstrong Seminar<br>
              Time: Oct 21, 2022 03:00 PM Eastern Time (US and Canada)<br>
              <br>
              Join Zoom Meeting<br>
              <a class="moz-txt-link-freetext" href="https://fsu.zoom.us/j/94635209136" moz-do-not-send="true">https://fsu.zoom.us/j/94635209136</a><br>
              <br>
              Meeting ID: 946 3520 9136<br>
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    <pre class="moz-signature" cols="72">-- 
Amy Baco-Taylor, PhD
Professor
Earth, Ocean, and Atmospheric Sciences
Florida State University

(850) 645-1547

<a class="moz-txt-link-abbreviated" href="mailto:abacotaylor@fsu.edu">abacotaylor@fsu.edu</a></pre>
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